Graphs: Difference between revisions

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(Created page with "----- The Graphs section allows users to visualize historical and real-time data trends, providing a powerful tool for identifying patterns, anomalies, and areas for improvement. Users can generate various types of visual representations, such as line charts, bar graphs, and pie charts, to display the data over specified time periods, such as hours, days, or months. These visual aids are invaluable for: ----- Spotting Trends Identifying Patterns Making Inf...")
 
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The Graphs section allows users to visualize historical and real-time data trends, providing a powerful tool for identifying patterns, anomalies, and areas for improvement. Users can generate various types of visual representations, such as line charts, bar graphs, and pie charts, to display the data over specified time periods, such as hours, days, or months. These visual aids are invaluable for:
Through the '''Graphs Section''', one is able to view real-time as well as historical information; thus, it helps the operations team see trends, anomalies and potential loci of optimization. It will produce a variety of graphical forms such as line chart, bar graph, or even pie graph to allow for in-depth analysis of the system's performance over a particular interval. This precious insight empowers teams to make decisions that are base on data, optimize system performance, and proactively respond to potential problems.


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[[Spotting Trends]]
'''[[Spotting Trends]]'''


[[Identifying Patterns]]
'''[[Identifying Patterns]]'''


[[Making Informed Decisions]]
'''[[Making Informed Decisions]]'''


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[[Category:Dashboard Features]]
[[Category:Dashboard Features]]

Latest revision as of 08:58, 21 November 2024


Through the Graphs Section, one is able to view real-time as well as historical information; thus, it helps the operations team see trends, anomalies and potential loci of optimization. It will produce a variety of graphical forms such as line chart, bar graph, or even pie graph to allow for in-depth analysis of the system's performance over a particular interval. This precious insight empowers teams to make decisions that are base on data, optimize system performance, and proactively respond to potential problems.


Spotting Trends

Identifying Patterns

Making Informed Decisions